Massive data is the key to successful AI/ML. The more data used in the training, testing, and validation phases, the more accurate and significant the results. Yet most enterprises are able to utilize only a small portion of their exponentially growing data.
Through GPU-accelerated processing, SQream powers robust, accurate, and reliable AI/ML models. SQream interfaces with common ML frameworks like Spark MLib, R, and TensorFlow, feeding them massive data after it has been “sliced and diced” with standard SQL preparation techniques.